Download or read book Predictive Tourism Entertainment Behavioral Changes written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-09-25 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: It seems that (AI) deep-learning technology can help agricultural export countries' farmers, e.g. US, UK, Canada, New Zealand, Australia, Japan, China, India etc. they can predict environmental behavioral consumption to any rice, tomato, potato, fruit, vegetable etc. plant food consumers. The beneficial advantages to them include as below: (a) Assuming they know their countries' weather, when it has less rain to cause drought or when it has more rain in any seasonal time in the year. They can choose not to grow any kinds of above these plant food to avoid loss. (b) They can make any kinds of above these plant food price raising after their prediction of these bad seasonal time to cause their plant food shortage supply challenge. Because these plant food consumers' demand number is more, but the supply of these above plant food supply number is less. However, due to they had predicted when the bad seasonal time can not allow them to grow these above plant food before. So, they have enough time to grow many these above plant food number in predictive good seasonal time to prepare to supply to their plant food import countries' plant food consumers to eat. Thus, these predictive environmental consumption plant food export countries can raise their plant food price to sell to them. When, the other non-pre-predictive environmental consumption plant food export countries can not supply any one of those plant food to them to eat, due to the bad climate to cause them can't grow any one of these plant food to export to sell. Thus, (AI) deep-learning technology can be applied to predict how to raise the plant food supply number in order to raise price to the import plant food countries consumers to eat, due to they feel difficult to buy these plant food to eat in the bad climate seasonal time in whole year. (c) (AI) deep-learning technology can help climate scientists to find what reasons cause their countries; rain sudden increases or cause their countries' rain sudden decreases. After its gathering data analysis, it can assist climate scientists to find solution methods to attempt to control the rain level can be right falling down level to let agricultural export farmers who can grow their plant food to sell to agricultural import countries in whole year. (d) The agricultural export countries' farmers can apply (AI) deep-learning technology to help them to choose whether growing which kinds of plant food in that whether climate time to earn more plant food consumption number more easily. Consequently, (AI) deep learning can gather where countries will have high risk environment pollution to influence health food supply. Then, it can give opinions to travelling businesses when these high risk environment pollution countries will encounter the traveler number to be decreased, due to the environment pollution serious challenge will occur.

Download or read book Predictive Cruise and Destination and Space Tourism written by Johnny Ch LOK and published by . This book was released on 2018-09-25 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does online tourism sale channel can influence traveling consumption of behaviour?Nowadays, internet is popular, it seems that booking air ticket behavior of using internet is predicted to influence overall tourism air tickets payment method. Tourism industry has grown in the previous several decades. Despite its global impact, questions related to better understanding of tourists and whose habits. Using online travel air ticket booking benefits include booking electronic air tickets can be made from entering any electronic travel agents websites in the short time and electronic travel ticket payers do not need leave home, who can pay visa card to pre booking any electronic travel ticket from online channel conveniently. How to analyze activity based travel demand ? Nowadays, human are concerning the traffic congestion and air quality deterioration, the supply oriented focus of transportation planning has expanded to include how to manage travel demand within the available transportation supply. Consequently, there has been an increasing interest in travel demand management strategies, such as congestion pricing that attempts to change aggregate travel demand. The prediction aggregate level, long term travel demand to understanding disaggregate level ( i.e. individual levels ) behavioral responses to short term demand policies, such as ride sharing incentives, congestion pricing and employer based demand management schemes, alternate work schedules, telecommuting limitation of travel agent traditionally work nature shall influence oriented trip based travel modelling passenger travel demand indirectly.Finally, online travel purchase will be popular to influence the number of travel behavioural consumption nowadays. Any travel package products can be sold from websites to attract travellers to choose to prebook air ticket for any trips conveniently. In the past ten years, the internet has become the predominant carrier of all types of information and transactions. Regarding travel decisions, internet has also become an important sales channels for the travel industry, because it is associated with comparably lower distribution and sales costs, but also because ir adapts to hign supply and demand dynamics in this industry. Consequently, the travel and tourism industry tries to increase the internet sale specific share of sales volumes. So, internet sale channel has changed travel consumption behavioural pattern and characteristics and travel experience. For example, Switzerland has one of the highest population-to-computer ratio in Europe. It is also one of the most highly internet penetrated countries in terms of use of the WWW on a day-to-day basis, with more than 75 percent of the population older than 14 years using the WWW daily ( ICT, 2005).The reason of booking online tourism may include: convenience, fast transaction, finding traveling package choice easily, more airline seats available. So, online booking tourism will influence the traditional tourism agents visiting of sales and air tickets and travelling package numbers to be decreased. Finally, the online booking tourism market shares will be expanded to more than traditional tourism agents visits sale market in the future one day. So, the travel agents who still use the traditional tourism visiting sale channel which ought raise whose features to compare to differ to online tourism sale channel if these traditional touriam agents want to keep competitive ability in tourism industry for long term.Actively based patterns of urban population of travel behavioural prediction method.

Download or read book Forecasting Tourism Demand written by Douglas Frechtling and published by Routledge. This book was released on 2012-05-23 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Forecasting tourism demand' is a text that no tourism professional can afford to be without. The tourism industry has experienced an overwhelming boom over recent years, and being able to predict future trends as accurately as possible is vital in the struggle to stay one step ahead of the competition. Building on the success of 'Practical Tourism Forecasting' this text looks at 13 methods of forecasting and with a user friendly style, 'Forecasting Tourism Demand' guides the reader through each method, highlighting its strengths and weaknesses and explaining how it can be applied to the tourism industry. 'Forecasting Tourism Demand' employs charts and tables to explain how to: * plan a forecasting project * analyse time series and other information * select the appropriate forecasting model * use the model for forecasting and evaluate its results Ideal for marketing managers and strategic planners in business, transportation planners and economic policy makers in government who must project demand for their products among tourists. Executives who rely on forecasts prepared by others will find it invaluable in assisting them to evaluate the validity and reliability of predictions and forecasts. Those engaged in analysing business trends will find it useful in surveying the future of what has been called the largest industry in the world.

Download or read book World Tourism in the New Millennium written by Zishan Parks and published by Scientific e-Resources. This book was released on 2019-04-20 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the beginning of time humans have traveled. Food, water, safety or acquisitions of resources (trade) were the early travel motivations. But the idea of travel for pleasure or exploration soon emerged. Travel has always depended upon technology to provide the means or mode of travel. The earliest travelers walked or rode domesticated animals. Tourism is a collection of activities, services and industries that delivers a travel experience, including transportation, accommodations, eating and drinking establishments, retail shops, entertainment businesses, activity facilities and other hospitality services provided for individuals or groups traveling away from home. The World Tourism Organization (WTO) claims that tourism is currently the world's largest industry with annual revenues of over $3 trillion dollars. Tourism provides over six million jobs in the United States, making it the country's largest employer. Presenting models and techniques for tourism forecasting at the outset, the book "e;World Tourism in the New Millennium"e; makes elaborate discussion on current and future scenario of tourism in North America, South America, Asia, Africa, and Europe. This unique presentation on current and future tourism scenario is a must for students, teachers, tour consultants, tour guides, tourists and general public.

Download or read book Can Apply Artificial Intelligent Tourism Prediction written by Johnny Ch LOK and published by . This book was released on 2018-07-08 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, many airline firms or travelling agents hope to apply different methods to predict travelling consumer behaviors in order to know what will be future next month, even next year travelling market destination choice and travelling package design preferable choice activities and travelling consumers travelling packages or travelling destination taste changes to help them to choose to implement what kinds of travelling marketing strategies or what are travelling packages or airline ticket prices more reasonable or more accurate range price level to attract travelers choose to the airline or travel agent to buy paper or e- ticket or help them to arrange travel package more attractive. Hence, if the travel agent or airline can apply the most suitable travelling consumer behavioral prediction method to predict how and the reasons why future travelling consumers' choice will be changed to influence their frequent travelling destination or travelling package choice. It will have more beneficial intangible advantages to compare the non-predictive travelling consumer behavioral variable changes travel agents or airlines, e.g. what will be the hot travel entertainment destinations and tangible advantages, what are the most suitable airline and hotel reasonable price range level to attract many travelers to choose to find the airline or travel agent to help them to buy air ticket or they ought know how to design their arrange travel package which will be accepted more popular for next or next year travelling customer's hot needs .Otherwise, if they applied the inaccurate traveler consumer behavioral prediction market research methods, e.g. survey, telephone questionnaire to predict how their consumers' behavioral changes. It will waste their time and money to attempt to make wrong travelling hot destinations and travelling package design to make unattractive travelling marketing strategy to cause travelling customer number to be reduced. In my this book first part, I concentrate on explain why artificial intelligence (AI) big data gathering tool will be one kind of good traveler consumer behavioral prediction tool to be chose to apply to predict traveler consumer consumption behavior concerns when and why and how their travelling behavior will change. I shall indicate some cases examples to give reasonable evidences to analyze whether (AI) big data gathering tool will be one kind suitable tool to be applied to predict when and how and why travelling consumer behavioral changes. If (AI) big data can be one kind tool to attempt to be applied to predict when and how and why travelling consumer behavioral changes. Will it make more accurate to compare other kinds of methods to predict travelling consumer behaviors, e.g. survey, telephone questionnaire? Does it have weaknesses to be applied to predict travelling consumer behaviors, instead of strengths? Can it be applied to predict travelling consumer behaviors depending on any situations or only some situations? Finally, I believe that any readers can find answers to answer above these questions in this book.In the second part, I shall explain whether it is possible to predict travel behavioural consumption from traditional tourism market research psychology view . In this part, I shall indicate what factors can influence travel behavioural consumption, such as climate changing, renting travel car tools choice, the country's risk and safety. Then I shall indicate what psychological factors can influence travel behavioural consumption, such as: push and pull psychological factor, expectation and motivation and attitude factor.

Download or read book Space Tourism Entertainment Consumer Psychology written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-05-09 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter SixSpace tourism and destinations marketdevelopmentFuture space tourism entertainment business success. The space tourism service provider needs to concern whom the customers are. The group of respondents interested in and willing to pay for space tourism customers who will have these needs to satisfy their space tourism entertainment in their space tourism journey as below: They need to feel there is no place like home, of all the attractive features with a flight into space, viewing the Earth from space rated highest, space tourism customers want to have fun, when asked about their spending. They can accept to spend the largest amount of income on travelling and vacation. So, these earth travelling customers can accept to spend experience space travlling journeys to enjoy their holidays needs.However, if the space tourism company can provide lower prices. Then, it will attract many space tourism customers to choose it's space travelling entertainment service. So, its demand will increase. In fact, orbital space travel is a fairly elastic market, there are significant jumps in demand when the service price drops to US $10 million and again at US$1 million. They must not accept physical discomfort post-space tourism flight. So, if the space tourism service provider can not provide physical comfort post-flight to its customers, then this poor space tourism service will influence its further space tourism customers number to be reduced.However, one US space travel entertainment report indicated the demand for public space travel entertainment service prediction. A presentation of forecaste indicated that space travel projects, due to 2021 year, over 15,000 passengers could be flying annually, presenting revenues in excess of US$700 million. By 2021 year, the report also forecasted 60 passengers may be flying annually, representing revenues in excess of US$300 million.The most important thing about on-orbit destination is options. The space travelling organizational report also estimated that an increase in demand would result from having commercial on-orbit facility available, predicting a total of 533 passengers over the forecast period, a 32 percent increae over the baseline forecast as the sole on-orbit destination option.

Download or read book Data Science Thinking written by Longbing Cao and published by Springer. This book was released on 2018-08-17 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.

Download or read book THE ART OF PREDICTING THE FUTURE TRENDS written by AŞKIM NURDAN TÜMBEK TEKEOĞLU and published by Scala Yayıncılık. This book was released on 2024-05-15 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: “The Art of Predicting the Future Trends” is a scholarly resource that offers a deep dive into each of Faith Popcorn’s 17 pivotal trends, providing sharp insights into their effects both in Turkey and globally. Faith Popcorn, a visionary futurist, meticulously identifies trends that reflect shifting consumer behaviors and expectations. These trends are critical as they provide predictive insights into consumer attitudes and market directions, aiding businesses and policymakers in anticipating changes and strategizing accordingly. Each trend addressed in the book underscores an aspect of consumer behavior driven by deeper psychological, social, or technological shifts. Understanding these trends is vital for organizations aiming to stay competitive and relevant in a rapidly changing world.

Download or read book Predicting Fluctuation Impacts Traveller Behavior written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-02-13 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: ChapterOneCultural distance on satisfaction and respect travel intentionEvery country cultural difference is different. How and why cultural difference has a real impact on tourist satisfaction and it can also influence to repeat travel. Is cultural tourism one major factor to influence tourist to repeat travelling intention or choice to the country in international tourism choice market? For example, China and India have similar culture. Their cultural difference is not much, e.g. eating cultural habit is similar, entertainment cultural habit is similar. These both countries people do not want to spend much money in eating and entertainment both aspects. Hence, these two countries people do not consider how to consume to enjoy entertainment and eat expensive food. Hence, it is based on cultural similar reason. These both countries tourists will prefer to choose to repeat travelling either China or India. When the Indian tourists had chosen to go to China to travel in the first time. Then, the Indian tourists will choose to go to China to travel in second time again. Also, the Indian tourists had chosen to go to China to travel in first time. Then, the Chinese tourists will choose to go to India to travel in second time again. What factors influence China and India touists repect to travel between these both countries. The factors will include cheap air ticket price, cheap hotel living price, less economic cost factor. However, I believe the similar cultural factor will be the major factor to influence many Chinese and Indian tourist prefer to choose to repeat travelling between these both countries. As my indication to these both countries people have similar eating habits, choosing foods, low health foods, common foods choice eating at cheap restaurant habitual consumption. Also, they have similar entertainment habits, their entertainment demad is not high. They like to ride bicycles to go to anywhere to travel. They like to go to swim, play backetball, football etc. sports. These all sports are cheap sport consumption. So, it based on similar individual low enjoyment demand and low health, food quality demand similar cultural factors. Chinese and Indian people have no long distance cultural difference between eating and entertainment habitual factor will include them to choose to repeact travelling between these both countries. Due to China and India have many restaurants can provide cheap food or sport service providers can provide diffent kinds of cheap sport entertainment consumption to satisfy their cheap food and cheap entertainment needs in their journey in China or India anywhere. So, it explains that why these both countries tourists will repeat to travel these both countries again after they had visited China or India to travel in first time. So, the similar cultural factor can impact these both countries tourists to repeat to go to these both countries to travel again. Hence, if these two countries' cultural distance is far or different, then themselves countries' tourists won't choose to repeat travel between themselves when these two countries for cultural distance toutists had visited to another country in first time. Hence, culture has been continuously considered as a much factor which tourists consider in terms of choice of the destination travelling place. Also, it explains cultural distance which can make tourist individual has less satisfaction to concern to tourists to repeat travels.

Download or read book Can Apply Artificial Intelligent Tourism Prediction Tool to Predict Traveller Behaviors written by Johnny Ch LOK and published by . This book was released on 2018-09-24 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: PrepareThis book has these three research questions need to be answered?(1)Can apply (AI) learning machine predict travelling consumer behavior?(2)Can (AI) big data gathering learning machine be replaced to human travelling marketing research method, e.g. survey or traveler psychological and travelling marketing research or travelling environment micro and macro economic human judgement of traveler consumption behavior prediction methods to predict travelling consumer behaviors more accurate?(3)Whether is AI tourism behavioral prediction tool or traditional tourism market research method better to predict tourism market behavior?Nowadays, many airline firms or travelling agents hope to apply different methods to predict travelling consumer behaviors in order to know what will be future next month, even next year travelling market destination choice and travelling package design preferable choice activities and travelling consumers travelling packages or travelling destination taste changes to help them to choose to implement what kinds of travelling marketing strategies or what are travelling packages or airline ticket prices more reasonable or more accurate range price level to attract travelers choose to the airline or travel agent to buy paper or e- ticket or help them to arrange travel package more attractive. Hence, if the travel agent or airline can apply the most suitable travelling consumer behavioral prediction method to predict how and the reasons why future travelling consumers' choice will be changed to influence their frequent travelling destination or travelling package choice. It will have more beneficial intangible advantages to compare the non-predictive travelling consumer behavioral variable changes travel agents or airlines, e.g. what will be the hot travel entertainment destinations and tangible advantages, what are the most suitable airline and hotel reasonable price range level to attract many travelers to choose to find the airline or travel agent to help them to buy air ticket or they ought know how to design their arrange travel package which will be accepted more popular for next or next year travelling customer's hot needs .Otherwise, if they applied the inaccurate traveler consumer behavioral prediction market research methods, e.g. survey, telephone questionnaire to predict how their consumers' behavioral changes. It will waste their time and money to attempt to make wrong travelling hot destinations and travelling package design to make unattractive travelling marketing strategy to cause travelling customer number to be reduced. In my this book first part, I concentrate on explain why artificial intelligence (AI) big data gathering tool will be one kind of good traveler consumer behavioral prediction tool to be chose to apply to predict traveler consumer consumption behavior concerns when and why and how their travelling behavior will change. I shall indicate some cases examples to give reasonable evidences to analyze whether (AI) big data gathering tool will be one kind suitable tool to be applied to predict when and how and why travelling consumer behavioral changes. If (AI) big data can be one kind tool to attempt to be applied to predict when and how and why travelling consumer behavioral changes. Will it make more accurate to compare other kinds of methods to predict travelling consumer behaviors, e.g. survey, telephone questionnaire? Does it have weaknesses to be applied to predict travelling consumer behaviors, instead of strengths? Can it be applied to predict travelling consumer behaviors depending on any situations or only some situations? Finally, I believe that any readers can find answers to answer above these questions in this book.

Download or read book Events Tourism Essentials written by Lynn Van der Wagen and published by Pearson Higher Education AU. This book was released on 2015-05-20 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Events and Tourism Essentials allows for completion of dual qualifications in Certificate III in Tourism and Certificate III in Events. The contents directly relate to competency units with industry examples providing application to match examination requirements as well as competency units. This resource is accompanied by a Teacher’s Resource Kit containing worksheets with multiple choice, short answer, worksheets, extension activities, assessment tasks, solutions, chapter review answers, mind map summaries and solutions.

Download or read book Entertainment Tourism written by Jian Ming Luo and published by Routledge. This book was released on 2017-11-06 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: Entertainment tourism has recently become more popular. Entertainment attractions encourage tourists to travel around the world to have fun and are an important part of many gaming destinations. This book explores the tourist experience in entertainment destinations. It introduces and outlines the concept of entertainment and tourism in the global environment, focusing on entertainment tourism development in Las Vegas, USA and Macau, China. Macau has become one of the most famous gaming destinations in the world, now surpassing Las Vegas in terms of gaming revenue. This book explores the market for entertainment tourism market and major trends, such as Virtual Reality, as well as the experience of tourists using entertainment products. This book is a valuable resource not only for social science researchers, but also for those in related fields, such as entertainment service providers and tourism officers, among many others.

Download or read book Predicting Trends and Building Strategies for Consumer Engagement in Retail Environments written by Granata, Giuseppe and published by IGI Global. This book was released on 2019-05-30 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Global economic scenarios are increasing in complexity due to the recent global financial crisis, globalization, the evolution of ICT, and the changing behaviors of consumers. This has made it difficult to predict trends and build strategies within the retail industry. As a result, long-term forecasts and schedules are not possible, and more research is needed to explore today’s consumer profile and set the frameworks for future recovery strategies. Predicting Trends and Building Strategies for Consumer Engagement in Retail Environments is a pivotal reference source that provides practical insights into improving the understanding of complex retail environments and consumer shopping behaviors in order to predict trends and develop strategies for retailers in times of economic crisis. While highlighting topics such as consumer engagement, industry models, and market globalization, this publication explores qualitative and quantitative methods of interest and the multidisciplinary approaches revolving around the industry. This book is ideally designed for marketers, managers, practitioners, retail professionals, academicians, researchers, and students seeking current research on relationship marketing, digital marketing, service management, and complexity theories.

Download or read book Plan Prediction written by Ray Wyatt and published by Springer. This book was released on 2016-11-19 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops an innovative system, in the form of an "app", that harnesses the power of the internet to predict which sorts of people will prefer which policy in ANY planning situation. It chronicles the accumulated research wisdom behind the system’s reasoning, along with several less successful approaches to policy making that have been found wanting in the past – including the myth, usually peddled by strategic planners, that it is possible to find a "best" plan which optimally satisfies everybody. The book lays out an entirely new kind of Planning Support System (PSS). It will facilitate decision-making that is far more community-sensitive than previously, and it will drastically improve the performance of anyone who needs to plan within socially-sensitive contexts – which is all of us. A standout feature of the system is its commitment to “scientific rigour”, as shown by its predicted plan scores always being graphically presented within error margins so that true statistical significance is instantly observable. Moreover, the probabilities that its predictions are correct are always shown – a refreshing change from most, if not all other Decision Support Systems (DSS) that simply expect users to accept their outputs on faith alone.

Download or read book Strategic Management in Tourism 3rd Edition CABI Tourism Texts written by Luiz Moutinho and published by CABI. This book was released on 2018-02-26 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive textbook has, at its core, the importance of linking strategic thinking with action in the management of tourism. It provides an analytical evaluation of the most important global trends, as well as an analysis of the impact of crucial environmental issues and their implications. Now in its third edition, and reviewing the major factors affecting international tourism management, this well-established student resource provides an essential overview of strategic management for students and professionals in the tourism sector.

Download or read book Tourism and Culture in the Age of Innovation written by Vicky Katsoni and published by Springer. This book was released on 2016-03-03 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on cultural tourism as it develops into the second decade of the new millennium. It presents recent hospitality and tourism research findings from various sources, including academic researchers and scholars, industry professionals, government and quasi-government officials, and other key industry practitioners. It discusses the latest tourism industry trends and identifies gaps in the research from a pragmatic and applied perspective. It includes specific chapters on innovation in tourism, the virtual visitor, cross-cultural visions of digital collections, heritage and museum management in the digital era, cultural and digital tourism policy, marketing and governance, social media, emerging technologies and e-tourism and many other topics of contemporary significance in global hospitality and tourism. The book is edited in collaboration with the International Association of Cultural and Digital Tourism (IACuDiT) and includes the proceedings of the Second International Conference on Cultural and Digital Tourism.

Download or read book Tourism Marketing written by Nilanjan Ray and published by CRC Press. This book was released on 2017-09-01 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tourism Marketing: A Strategic Approach presents a variety of practical application tools, skills, practices, models, approaches, and strategies that are proving themselves effective in tourism marketing. The volume considers overall infrastructure, socioeconomic conditions, and modern tourism business infrastructure in discussing the efficiency of good strategies and practices and their impact on business and economic growth. Tourism is one of the fastest growing industries, and in the next few decades, it will play a role in many fields, such human resources, national economic growth, and more.